rm(list = ls())
load("dataBJPOLS.RData")

inst.1 <- "judgeiv_hd * as.factor(race4) * as.factor(judge_exp_cat)"
endo.1 <- "pti * as.factor(race4) * as.factor(judge_exp_cat)"
outc.1 <- "vote_post"

time.controls <- "as.factor(court_time1) + as.factor(court_time2) + as.factor(court_dow) + as.factor(severity)"
demo.controls <- "age + I(age^2) +  as.factor(race4) + female + vote_pre + as.factor(noteli) + regis_before"
case.controls <- "as.factor(any_drug) +  as.factor(any_weapon) +  as.factor(any_prop) + as.factor(any_prior_case)"

form.1 <- formula(paste(outc.1, "~", endo.1, "+" , time.controls, "|", inst.1, "+", time.controls))
form.2 <- formula(paste(outc.1, "~", endo.1, "+" , time.controls, "+", demo.controls, "|", inst.1, "+", time.controls, "+", demo.controls))
form.3 <- formula(paste(outc.1, "~", endo.1, "+" , time.controls, "+", demo.controls, "+", case.controls, "|", inst.1, "+", time.controls, "+", demo.controls, "+", case.controls))

resultsB <- resultsH <- resultsW <- resultsM <- resultsHM <- resultsWM <- list()
boot.run <- T

if(boot.run) {
   set.seed(1231)
   for(i in 1:500) {
      out <- last.cases[, this_id_fa[sample.int(.N, .N, TRUE)], by = c("judge_cat", "court_time1")]
      last.cases.boot <- last.cases[last.cases$this_id_fa %in% out$V1, ]
      
      m1a1 <- ivreg(form.1, data = last.cases.boot)
      m1a2 <- ivreg(form.2, data = last.cases.boot)
      m1a3 <- ivreg(form.3, data = last.cases.boot)
      
      resultsB[[i]] <- c(m1a1$coefficients["pti"], 
                         m1a2$coefficients["pti"], 
                         m1a3$coefficients["pti"])
      
      resultsW[[i]] <- c(m1a1$coefficients["pti:as.factor(race4)W"], 
                         m1a2$coefficients["pti:as.factor(race4)W"], 
                         m1a3$coefficients["pti:as.factor(race4)W"])
      
      resultsH[[i]] <- c(m1a1$coefficients["pti:as.factor(race4)H"], 
                         m1a2$coefficients["pti:as.factor(race4)H"], 
                         m1a3$coefficients["pti:as.factor(race4)H"])
      
      resultsM[[i]] <- c(m1a1$coefficients["pti:as.factor(judge_exp_cat)1"], 
                         m1a2$coefficients["pti:as.factor(judge_exp_cat)1"], 
                         m1a3$coefficients["pti:as.factor(judge_exp_cat)1"])
      
      resultsHM[[i]] <- c(m1a1$coefficients["pti:as.factor(race4)H:as.factor(judge_exp_cat)1"], 
                          m1a2$coefficients["pti:as.factor(race4)H:as.factor(judge_exp_cat)1"], 
                          m1a3$coefficients["pti:as.factor(race4)H:as.factor(judge_exp_cat)1"])
      
      resultsWM[[i]] <- c(m1a1$coefficients["pti:as.factor(race4)W:as.factor(judge_exp_cat)1"], 
                          m1a2$coefficients["pti:as.factor(race4)W:as.factor(judge_exp_cat)1"], 
                          m1a3$coefficients["pti:as.factor(race4)W:as.factor(judge_exp_cat)1"])
   }
   
   SEsB <- round(apply(do.call('rbind', resultsB), 2, sd), 3)
   SEsW <- round(apply(do.call('rbind', resultsW), 2, sd), 3)
   SEsH <- round(apply(do.call('rbind', resultsH), 2, sd), 3)
   SEsM <- round(apply(do.call('rbind', resultsM), 2, sd), 3)
   SEsWM <- round(apply(do.call('rbind', resultsWM), 2, sd), 3)
   SEsHM <- round(apply(do.call('rbind', resultsHM), 2, sd), 3)
   
   SEsBMa <- round(apply(do.call('rbind', resultsB) + do.call('rbind', resultsM), 2, sd), 3)
   SEsBNo <- round(apply(do.call('rbind', resultsB), 2, sd), 3)

   SEsWMa <- round(apply(do.call('rbind', resultsB) + do.call('rbind', resultsM) + do.call('rbind', resultsW) + do.call('rbind', resultsWM), 2, sd), 3)
   SEsWNo <- round(apply(do.call('rbind', resultsB) + do.call('rbind', resultsW), 2, sd), 3)
   
   SEsHMa <- round(apply(do.call('rbind', resultsB) + do.call('rbind', resultsM) + do.call('rbind', resultsH) + do.call('rbind', resultsHM), 2, sd), 3)
   SEsHNo <- round(apply(do.call('rbind', resultsB) + do.call('rbind', resultsH), 2, sd), 3)
   
   SEsWBMa <- round(apply(-1 * (do.call('rbind', resultsB) + do.call('rbind', resultsM) + do.call('rbind', resultsW) + do.call('rbind', resultsWM))
                          + (do.call('rbind', resultsB) + do.call('rbind', resultsM)), 2, sd), 3)
   SEsWBNo <- round(apply(-1 * (do.call('rbind', resultsB) + do.call('rbind', resultsW))
                          + (do.call('rbind', resultsB)), 2, sd), 3)

   SEsHBMa <- round(apply(-1 * (do.call('rbind', resultsB) + do.call('rbind', resultsM) + do.call('rbind', resultsH) + do.call('rbind', resultsHM))
                          + (do.call('rbind', resultsB) + do.call('rbind', resultsM)), 2, sd), 3)
   SEsHBNo <- round(apply(-1 * (do.call('rbind', resultsB) + do.call('rbind', resultsH))
                          + (do.call('rbind', resultsB)), 2, sd), 3)
   
   SEsHWMa <- round(apply(-1 * (do.call('rbind', resultsB) + do.call('rbind', resultsM) + do.call('rbind', resultsH) + do.call('rbind', resultsHM))
                          + (do.call('rbind', resultsB) + do.call('rbind', resultsM) + do.call('rbind', resultsW) + do.call('rbind', resultsWM)), 2, sd), 3)
   SEsHWNo <- round(apply(-1 * (do.call('rbind', resultsB) + do.call('rbind', resultsH))
                          + (do.call('rbind', resultsB) + do.call('rbind', resultsW)), 2, sd), 3)
}

m1a1 <- ivreg(form.1, data = last.cases)
m1a2 <- ivreg(form.2, data = last.cases)
m1a3 <- ivreg(form.3, data = last.cases)

m1a1_d <- summary(m1a1, vcov = sandwich, diagnostic = T)
m1a2_d <- summary(m1a2, vcov = sandwich, diagnostic = T)
m1a3_d <- summary(m1a3, vcov = sandwich, diagnostic = T)

res1_pti <- coefficients(m1a1)[grep("pti", names(coefficients(m1a1)))]
res2_pti <- coefficients(m1a2)[grep("pti", names(coefficients(m1a2)))]
res3_pti <- coefficients(m1a3)[grep("pti", names(coefficients(m1a3)))]

m1a1_d1 <- m1a1_d$diagnostics[grep("Weak", rownames(m1a1_d$diagnostics)), 3]
m1a2_d1 <- m1a2_d$diagnostics[grep("Weak", rownames(m1a2_d$diagnostics)), 3]
m1a3_d1 <- m1a3_d$diagnostics[grep("Weak", rownames(m1a3_d$diagnostics)), 3]

p1 <- data.table(cbind(res1_pti, res2_pti, res3_pti))
p1$V4 <- 1
p1$V5 <- 1:nrow(p1)
p1$V6 <- "Estimate"
colnames(p1) <- paste0("V", 1:6)

p2 <- data.table(rbind(SEsB, SEsH, SEsW, SEsM, SEsHM, SEsWM))
p2$V4 <- 2
p2$V5 <- 1:nrow(p2)
p2$V6 <- "Std. Error"
colnames(p2) <- paste0("V", 1:6)

p3 <- data.table(round(cbind(m1a1_d1, m1a2_d1, m1a3_d1), 2))
colnames(p3) <- c("V1", "V2", "V3")
p3$V4 <- 3
p3$V5 <- 1:nrow(p3)
p3$V6 <- "F-stat"

table <- rbind(p1, p2, p3)
table <- table[order(V5, V4), ]
table$V4 <- table$V5 <- NULL
p4 <- data.table(m1a1$nobs, m1a2$nobs, m1a3$nobs)    
p4$V6 <- "N"

table <- rbind(table, p4)
table <- table[, c("V6", "V1", "V2", "V3")]
colnames(table) <- c("Variable", "Model 1", "Model 2", "Model 3")
table
